Shaharyar Kamal
Orcid: 0000-0001-6615-5556
According to our database1,
Shaharyar Kamal
authored at least 25 papers
between 2014 and 2024.
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Bibliography
2024
A Novel Collaborative SRU Network With Dynamic Behaviour Aggregation, Reduced Communication Overhead and Explainable Features.
IEEE J. Biomed. Health Informatics, June, 2024
Proceedings of the IEEE Latin-American Conference on Communications, 2024
2023
Proceedings of the IEEE Latin-American Conference on Communications, 2023
2022
MS-DLD: Multi-Sensors Based Daily Locomotion Detection via Kinematic-Static Energy and Body-Specific HMMs.
IEEE Access, 2022
2021
An LSTM-Based Approach for Understanding Human Interactions Using Hybrid Feature Descriptors Over Depth Sensors.
IEEE Access, 2021
Phase-noise Compensation for QPSK-RoF-OFDM Signals with the Extreme Learning Machine Algorithm for Multilayer Perceptron.
Proceedings of the IEEE Latin-American Conference on Communications, 2021
2020
KSII Trans. Internet Inf. Syst., 2020
Proceedings of the 12th International Symposium on Communication Systems, 2020
2019
Improved Behavior Monitoring and Classification Using Cues Parameters Extraction from Camera Array Images.
Int. J. Interact. Multim. Artif. Intell., 2019
BER Improvement Using the Better than Double-Jump 2 Pulse in OFDM Schemes Prone to Frequency Offset.
Proceedings of the 16th International Symposium on Wireless Communication Systems, 2019
2018
Detecting Complex 3D Human Motions with Body Model Low-Rank Representation for Real-Time Smart Activity Monitoring System.
KSII Trans. Internet Inf. Syst., 2018
2017
Wirel. Pers. Commun., 2017
Robust human activity recognition from depth video using spatiotemporal multi-fused features.
Pattern Recognit., 2017
A Depth Video-based Human Detection and Activity Recognition using Multi-features and Embedded Hidden Markov Models for Health Care Monitoring Systems.
Int. J. Interact. Multim. Artif. Intell., 2017
2016
Human Depth Sensors-Based Activity Recognition Using Spatiotemporal Features and Hidden Markov Model for Smart Environments.
J. Comput. Networks Commun., 2016
2015
Depth Silhouettes Context: A New Robust Feature for Human Tracking and Activity Recognition based on Advanced Hidden Markov Model.
J. Multim. Process. Technol., 2015
Dense RGB-D Map-Based Human Tracking and Activity Recognition using Skin Joints Features and Self-Organizing Map.
KSII Trans. Internet Inf. Syst., 2015
Proceedings of the 12th International Conference on Ubiquitous Robots and Ambient Intelligence, 2015
Depth silhouettes context: A new robust feature for human tracking and activity recognition based on embedded HMMs.
Proceedings of the 12th International Conference on Ubiquitous Robots and Ambient Intelligence, 2015
Proceedings of the International Wireless Communications and Mobile Computing Conference, 2015
Evaluation of the improved parametric linear combination pulse in digital baseband communication systems.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2015
Shape and Motion Features Approach for Activity Tracking and Recognition from Kinect Video Camera.
Proceedings of the 29th IEEE International Conference on Advanced Information Networking and Applications Workshops, 2015
2014
A Depth Video Sensor-Based Life-Logging Human Activity Recognition System for Elderly Care in Smart Indoor Environments.
Sensors, 2014
Real-time life logging via a depth silhouette-based human activity recognition system for smart home services.
Proceedings of the 11th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2014